The Significance Of Serum S100β In Diagnosing Sepsis-associated Encephalopathy

Objective To study the change of S100β in rats with sepsis-associated encephalopathy (SAE).Methods Thirty SD rats were implanted electrodes in brain. After ten days, these rats were randomly divided into six in normal group, six in sham-operated group, and eighteen in CLP group which were developed cecal ligation and puncture models of sepsis. Eight hours later, heart rate、blood pressure and electroencephalogram were recorded by RM6240physiological signal recorder. Diagnose sepsis-associated encephalopathy with neurological reflexes and electroencephalogram. Meanwhile, serum and brain were taken for measuring S100β. The data was analysed with one-way ANOVA.Results In eighteen septic rats, three were dead, and the lasts were divided into eight in no-SAE group and seven in SAE group. Serum and brain S100β in SAE group were significantly higher than that of no-SAE group (171.0ng/L vs116.8ng/L,306.8ng/L vs175.7ng/L, P<0.05). Brain/serum S100β in SAE group was higher than that of no-SAE group (1.79vs1.52,P<0.05). Serum S100β in sham-operated group was higher than that of normal group(112.4ng/L vs90.8ng/L, P<0.05)。Conclusions1、Serum S100β in SAE rats was significantly high;2、Some injuries such as puncture and surgery can cause no-brain S100β improve;3、Brain/serum S100β in SAE rats was higher. Objective To study the clinical significance of S100β in diagnosing sepsis-associated encephalopathy (SAE).Methods Collect clinical data of septic patients in ICU from May,2012-April,2013. Evaluate consciousness every day. If the patient had the change of consciousness and was eliminated other associated diseases, we thought SAE happen. The data was analyzed with one-way ANOVA. Risk factors were analyzed by Logistic regression analysis. Two factors’ correlation was analyzed by Pearon or Spearman analysis. Survival in28days was analyzed by Kaplan-Meier analysis.Results In112patients,48patients were diagnosed of SAE. Serum S100β in SAE patients was significantly higher than that of no-SAE patients (0.747μg/L vs0.168μg/L, P=0.001). GCS scores and improved RASS scores were related to S100β(r=-0.595, r=0.591, P<0.01). Serum S100β was also the risk factor of SAE (OR=5.204, P=0.003). What’s more, AUC in ROC curve of diagnosis and prognosis was0.824and0.730respectively. In ROC curve of diagnosis, the cutoff of S100β was0.131μg/L, sensitivity was0.854and specificity was0.672.Conclusions1、Serum S100β in SAE patients was significantly high;2、Serum S100β was related to the severity of SAE;3、Serum S100β was one of the risk factors of SAE;4、In diagnosing SAE with S100β, the efficacy and sensitivity was strong. But specificity was weak.